In the fast-paced business world, companies are constantly competing to improve their software products for users, as well as minimize their own expenses. Edge computing is gaining popularity as a solution that can offer both.

Edge computing is a term typically applied to IoT systems, but software engineers in all fields are realizing its potential for other types of applications. In a nutshell, edge computing refers to the data processing as close as possible to the data’s origin point. The “edge” refers to the information’s relation to a central hub, such as a cloud. One example of edge software is a CDN (content delivery network), frequently used for mobile OS updates, that lets companies roll out updates to a wide user base from the locations close to them.

This kind of cloud computing is reaching the next level of information processing distribution, pushing the actual computing from data centers to work directly on user devices and smoothly deploying software to even the most remote edge locations. Edge computing is already used by Apple’s CoreML and Google’s TensorFlow Lite to run machine learning models on user mobile devices without the need to consume resources from a data center.

Advantages of Edge Computing

The main appeal of edge computing for businesses is that it can offer a better user experience for customers by making software faster and more reliable. It also improves privacy and security for both consumers and enterprises by keeping data as close to the source as possible, whether that be on the user’s device or on a local network. It also saves businesses money by allowing them to distribute energy and computing resources more efficiently.

For developers, edge computing improves the distribution of data for analysis purposes, with high granularity data being stored at the edge for monitoring, with less dense data being transferred to the cloud for high-level analysis. Tools such as InfluxDB can be used in custom software development to more easily integrate edge computing into new enterprise systems and make them more efficient.

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AI Optimization Disruptive Researcher – Chief Development Officer and CoFounder at AccelOne – Blockchain Certified Developer – Autonomous Cars Engineer – Industrial Engineer – McLaren Fan

My Tech journey started 38 years ago with a Yamaha CX5M Computer / Synth, and since then, I have had a nonstop career adding experiences in several industries and technologies. I am an AI researcher and Ph.D. student and the Chief Development Officer of AccelOne. I lead a team of passionate talent in software engineering services, which are delivered from LA to the US. I have a strong technical background with more than three decades of experience in complex project and team management in various areas, including product design and development in Entertainment, eCommerce, Retail, Logistics, Business Intelligence, and Financial Services. I was CTO of Axigma Technologies, managing mobile business and consumer development projects for brands, including The Marketing Store and C9W. I founded the computer training institute IEC, which provided training services in several different programming languages and design and animation tools. In 2005 I founded Routeck, a development software company devoted to special projects (such as open-source firmware programming), credit card reconciliation, and specific products for retail. I was Development Manager at Infinite Corporation, managing their iSeries and Web products, a former Senior Software Engineer at COTO, and a Senior Web Applications Engineer at HSBC.